The article talks about how scientists use regression and correlation to understand the relationships between different things. Correlation shows how much two things depend on each other, while regression helps us see exactly how they're related through math. In regression, first, we figure out what kind of math function to use, and then we find the specific numbers that make the math work. It's like predicting how much one thing will be based on another. This helps us make sense of data and predict outcomes in real life.